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Changes in Conformation and Walk Kinematics of Suckling and Weanling Warmblood Foals

2007· dissertation· en· W15370846 on OpenAlexaboutno aff
Sarah Faith Denham

Bibliographic record

VenueErgonomics · 2007
Typedissertation
Languageen
FieldVeterinary
TopicVeterinary Equine Medical Research
Canadian institutionsnot available
Fundersnot available
KeywordsWarmbloodHockFemurHumerusAnatomyTibiaScapulaFoalWeanlingKinematicsOrthodonticsHorseMedicineBiologySurgeryVeterinary medicinePhysics

Abstract

fetched live from OpenAlex

The objectives of these two studies were to characterize normal growth and resultant changes in conformation and walk kinematics of warmblood foals. The first study quantified linear and angular conformation changes of 13 warmblood foals during the first 9 mo of growth. An objective photographic method of evaluating conformation was used to obtain all data. All linear measurements increased significantly over the investigated ages and growth rates were highest in the first 2 mo of growth. Total percentage of growth during the study was greatest for neck and back length. Distal limb growth was minimal over the investigated ages. Metacarpal growth slowed earlier than many other traits. Length of the metatarsus increased minimally during the studied ages with significant growth occurring only between 23 wk and post-weaning measurements. Increasing wither heights were positively associated with increases in scapula, humerus, radius, ilium, femur, tibia and metatarsal and metacarpal lengths. Angular conformation also changed significantly during growth. Trends in angular changes were generally less clear than those for linear variables. Scapula, femur and hock angles significantly increased and humerus angle decreased with age. Utilizing a plumb line from the hock upward, the distance of the hindlimb behind the body was quantified. The distance out behind decreased significantly between 1 and 15 wk. Distance out behind was positively correlated with tibia angle at all ages. The second study quantified linear and temporal kinematics of the walk in growing foals. Nine warmblood foals from the first study were filmed as they walked over a uniform concrete surface covered in 13mm thick rubber matting. Speed was controlled through the use of a uniform handler with a metronome. Trait means at ages 3, 11, 21 wk and post-weaning were compared. Length variables were standardized to percent of total stride length. Temporal variables were standardized to percent of stride duration. Stride length and duration increased significantly with age. Step lengths, stance duration and protraction and retraction durations did not change across ages. Over-stride decreased significantly with age, potentially due to increased back length in older foals. Linear distance between diagonal hooves during stance increased with age, and was negatively correlated to the decrease in over-stride. While older foals appeared to display a more regular, 4-beat walk rhythm, timing between lateral and diagonal footfalls remained significantly different at all ages. Both conformation and kinematics changed during growth. Characterizing conformational changes due to growth can allow a better understanding of how foal conformation and gait change during growth and may predict these traits in adults, thus allowing selection of top performance prospects at a younger age.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.399
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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